Which statement describes the attitude of most companies toward Responsible AI?Most companies have implemented extensive Responsible AI solutions throughout their business.Most companies have contracted out their Responsible AI functions to third-party providers.Most large companies that want to apply AI are adopting Responsible AI principles but still need practical solutions.Most large companies have ignored Responsible AI principles and are continuing to operate as before.I don't know this yet.

Why is responsible AI practice important to an organization?Responsible AI practice can help drive revenue.Responsible AI practice can help improve operational efficiency.Responsible AI practice can improve communication efficiency.Responsible AI practice can help build trust with customers and stakeholders.

Share your views on "The ethics of Artificial Intelligence (AI) and the need for responsible development" in minimum 200 words.

What is AI ethics?  1 pointHow and why an AI system arrived at a particular outcome or recommendation  How to build and use AI in ways that align with human ethics and expectations A multidisciplinary field that investigates how to maximize AI’s beneficial impacts while reducing risks and adverse impacts  An organization’s act of governing AI through its corporate instructions, staff, processes, and systems

Passage (Q.13-Q.18): Amid recent hype around ChatGPT and generative artificial intelligence (AI), many areeager to harness the technology's increasingly sophisticated potential. However, findings from Baker McKenzie's2022 North America AI survey indicate that business leaders may currently underappreciate AI-related risks totheir organization. These days, AI-related progress and adoption is happening at an exponential rate – someargue too quickly. While this exponential growth has renewed focus on the use of AI, the reality is thatacademics, scientists, policy-makers, legal professionals and others have been campaigning for some timenow for the ethical and legal use and deployment of AI, particularly in the workplace where existingapplications of AI in the human resources (HR) function are abundant (e.g., talent acquisition,administrative duties, employee training). According to our survey, 75% of companies already use AI tools andtechnology for hiring and HR purposes of recognition of talent. In this new phase of generative AI, core tenetsaround AI adoption – such as governance, accountability, and transparency – are more important than ever, asare concerns over the consequences of poorly deployed AI. For example, unchecked algorithms can result inbiased and discriminatory outcomes, perpetuating inequities, and dampening workforce diversity progress. Dataprivacy and breaches are another concern, easily occurring through the non-anonymization and collection ofemployee data.Generative AI has also given way to new intellectual property (IP) considerations, raising questions aroundownership of both inputs and outputs from third-party programmes and subsequent copyright infringementconcerns. Broadly, we have seen governments and regulators making hasty efforts to implement AI-relatedlegislation and regulatory enforcement mechanisms. In the US, a key focus of emerging legislation will be onthe use of AI in hiring and HR-related operations. Litigation, including class actions, is also on the horizon. Weare already seeing the first wave of generative AI IP litigation in the US, and these early court decisions areshaping the legal landscape absent of existing regulation. Organizations who implement generative AI alsoshould assume that data fed into AI tools and queries will be collected by third-party providers of the technology.In some cases, these providers will have rights to use and/or disclose these inputs. As employers look to equipT

Which of these is correct with regard to applying responsible AI practices?Decisions made at a late stage in a project do not make an impact on responsible AI.Only decisions made by the project owner at any stage in a project make an impact on responsible AI.Decisions made at an early stage in a project do not make an impact on responsible AI.Decisions made at all stages in a project make an impact on responsible AI